Few-Shot Image Classification via Mutual Distillation Article Swipe
T Zhang
,
Wenwen Dai
,
Zhiyu Chen
,
Sai Yang
,
Fan Liu
,
Hao Zheng
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/app132413284
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/app132413284
Due to their compelling performance and appealing simplicity, metric-based meta-learning approaches are gaining increasing attention for addressing the challenges of few-shot image classification. However, many similar methods employ intricate network architectures, which can potentially lead to overfitting when trained with limited samples. To tackle this concern, we propose using mutual distillation to enhance metric-based meta-learning, effectively bolstering model generalization. Specifically, our approach involves two individual metric-based networks, such as prototypical networks and relational networks, mutually supplying each other with a regularization term. This method seamlessly integrates with any metric-based meta-learning approach. We undertake comprehensive experiments on two prevalent few-shot classification benchmarks, namely miniImageNet and Caltech-UCSD Birds-200-2011 (CUB), to demonstrate the effectiveness of our proposed algorithm. The results demonstrate that our method efficiently enhances each metric-based model through mutual distillation.
Related Topics
Concepts
Overfitting
Computer science
Metric (unit)
Artificial intelligence
Machine learning
Generalization
Distillation
Regularization (linguistics)
Pattern recognition (psychology)
Data mining
Mathematics
Artificial neural network
Engineering
Operations management
Organic chemistry
Chemistry
Mathematical analysis
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/app132413284
- https://www.mdpi.com/2076-3417/13/24/13284/pdf?version=1702644703
- OA Status
- gold
- Cited By
- 1
- References
- 37
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4389783264
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4389783264Canonical identifier for this work in OpenAlex
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https://doi.org/10.3390/app132413284Digital Object Identifier
- Title
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Few-Shot Image Classification via Mutual DistillationWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-12-15Full publication date if available
- Authors
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T Zhang, Wenwen Dai, Zhiyu Chen, Sai Yang, Fan Liu, Hao ZhengList of authors in order
- Landing page
-
https://doi.org/10.3390/app132413284Publisher landing page
- PDF URL
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https://www.mdpi.com/2076-3417/13/24/13284/pdf?version=1702644703Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.mdpi.com/2076-3417/13/24/13284/pdf?version=1702644703Direct OA link when available
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Overfitting, Computer science, Metric (unit), Artificial intelligence, Machine learning, Generalization, Distillation, Regularization (linguistics), Pattern recognition (psychology), Data mining, Mathematics, Artificial neural network, Engineering, Operations management, Organic chemistry, Chemistry, Mathematical analysisTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
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2024: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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